Summary In this code pattern, gain better insights and explainability by learning how to use the AI 360 Explainability Toolkits to demystify the decisions that are made by a machine learning model. This not only helps policymakers and data scientists to develop trusted explainable AI applications, but also helps with transparency for everyone. To demonstrate […]Read More
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Summary This code pattern explains how to build an AI-powered back end system that can take the daily essentials orders through an online mode. Description How do we keep people from hoarding essential items during a pandemic and a lockdown? How can people get essential items through a digital mode? Today, because of social distancing […]Read More
Summary This code pattern explains how to create an application that you can use to search for a topic within video and audio files. Description While listening to a podcast or to video or audio files of courses, you often want to jump directly to the topic rather than listening to extraneous information. However, finding […]Read More
Summary In this code pattern, build an application that uses IBM® Watson Discovery service APIs to create, query, get a status, and delete a document collection of web portals. The application renders the query results on a custom-built web user interface. This provides flexibility for an app developer to design and build the web user […]Read More
Summary In this code pattern, learn how to use IBM® Watson Knowledge Studio to train a custom machine learning model to drive a decision-making process of identifying dangerous situations. Description Want to develop an application or solution that can reduce the response time of first responders? This code pattern explains how to create a danger […]Read More
Summary In this code pattern, learn how to use AutoAI to automatically generate a Jupyter Notebook that contains Python code of a machine learning model. Then, explore, modify, and retrain the model pipeline using Python before deploying the model in IBM Watson® Machine Learning using Watson Machine Learning APIs. Description AutoAI is a graphical tool […]Read More
Summary To enable mobile users to leverage IBM Watson® services through a messenger app, complete this developer code pattern and build a framework that can act as an intermediator in connecting Watson services to WhatsApp Messenger. Description There are currently 2.4 billion users on WhatsApp, and the number keeps climbing. For medium and large businesses, […]Read More
Summary This code pattern demonstrates a way to build an assistant that can answer queries regarding COVID-19 insurance policies of various companies. It also compares the policies and add-on-related queries given by them. The application is developed using IBM Watson® Assistant and IBM Watson Discovery. Description Various insurance providers have created insurance policies specifically for […]Read More
Summary In this code pattern, learn how to extract speaker diarized notes and meaningful insights reports using IBM® Watson Speech To Text, Watson Natural Language Processing, and Watson Tone Analysis when given any video. Description In a virtually connected world, staying focused on work or education is very important. Studies suggest that many people lose […]Read More
Summary This code pattern demonstrates how to deploy an AI workloads to an edge device for scoring. Description In many factory environments, when employees enter a designated area, they must be wearing proper Personal Protective Equipment (PPE) such as a hard hat. This pattern demonstrates a solution which monitors the designated area and issues an […]Read More
